scholarly journals The Relationship Between Tri-ponderal Mass Index and Metabolic Syndrome and Its Components in Youth Aged 10–20 Years

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Young Suk Shim
Keyword(s):  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Standard Deviation Score ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Lipoprotein Cholesterol ◽  
Elevated Glucose ◽  
Overweight Group ◽  
The Relationship

Abstract The current study aimed to evaluate the distribution of the tri-ponderal mass index (TMI) according to sex and age and the relationship of obesity groups according to sex- and age-specific TMI with metabolic syndrome (MetS) and its components. A total of 8,464 subjects aged 10–20 years were classified into 4 groups according to sex- and age-specific TMI: (i) underweight, (ii) normal weight, (iii) overweight, and (iv) obese. The range of the 50th percentiles of TMI was from 13.24 kg/m3 at 10 years to 12.94 kg/m3 at 20 years among males and from 12.19 kg/m3 to 12.84 kg/m3 among females. In the analysis of covariance, obesity groups according to sex- and age-specific TMI were positively correlated with waist circumference (WC) standard deviation score; systolic blood pressure (BP); diastolic BP; and levels of glucose, total cholesterol, triglycerides (TGs), and low-density lipoprotein cholesterol, but for both sexes, the obesity groups were negatively related to high-density lipoprotein cholesterol (HDL-C). In the multiple logistic regression, subjects in the overweight group had higher odds ratios (ORs) for elevated WC (29.18), elevated BP (1.33), elevated TGs (2.55), reduced HDL-C (2.31), and MetS (8.93) than those with normal weight. Participants in the obesity group had increased ORs for elevated WC (154.67), elevated BP (2.22), elevated glucose (3.54), elevated TGs (4.12), reduced HDL-C (3.69), and MetS (25.57) compared to participants with normal weight after adjustment for confounders. Our results suggest that sex- and age-specific TMI may be applicable in the clinical setting as a useful screening tool.

scholarly journals Pediatric Loss-of-Control Eating and Anxiety in Relation to Components of Metabolic Syndrome

2018 ◽  
Vol 44 (2) ◽  
pp. 220-228 ◽  
Author(s):  
Meghan E Byrne ◽  
Marian Tanofsky-Kraff ◽  
Nichole R Kelly ◽  
Anne Claire Grammer ◽  
Manuela Jaramillo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Treatment Seeking ◽  
Loss Of Control ◽  
Convenience Sample ◽  
Air Displacement Plethysmography ◽  
The Relationship

Abstract Objective Pediatric loss-of-control (LOC) eating is associated with, and predictive of, gains in adiposity and adverse metabolic outcomes. In addition, some preliminary data suggest that anxiety may exacerbate the relationship of LOC eating with weight and metabolic syndrome (MetS)-related measures. We therefore examined whether anxiety moderated the relationship between LOC eating and body mass index z (BMIz), adiposity, and MetS-related measures in youth. Methods A convenience sample of non-treatment-seeking boys and girls of varying weight strata were interviewed to determine the presence of LOC eating and completed a questionnaire assessing trait anxiety. BMIz and MetS-related measures (blood pressure, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, glucose, and insulin) were measured after an overnight fast. Adiposity was assessed by air displacement plethysmography or dual-energy x-ray absorptiometry. Analyses adjusted for age, sex, race, height, fat mass, and depressive symptoms, as appropriate. Results In all, 379 youths (13.0 ± 2.8 years; 53% female; BMIz = 0.8 ± 1.1; 22% with LOC eating) were studied. Anxiety was not significantly related to BMIz, adiposity, or MetS-related measures. However, anxiety and LOC eating interacted such that only among youth with LOC eating, anxiety was positively associated with fasting insulin (p = .02) and insulin resistance (p = .01). The interaction of anxiety and LOC eating was not significantly related to BMIz, adiposity, or any other MetS-related measure (ps = ns). Conclusions Only among non-treatment-seeking youth with LOC eating, anxiety may be associated with increased insulin secretion and insulin resistance. Longitudinal studies are required to confirm these findings and explore mechanisms for these relationships.

scholarly journals Subclinical Hypothyroidism and Indices for Metabolic Syndrome in Japanese Women: One-Year Follow-Up Study

2013 ◽  
Vol 98 (8) ◽  
pp. 3280-3287 ◽  
Author(s):  
Yasuyo Nakajima ◽  
Masanobu Yamada ◽  
Masako Akuzawa ◽  
Sumiyasu Ishii ◽  
Yasuhiro Masamura ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Odds Ratio ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Triglyceride ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Free T4 ◽  
The Relationship

Context: Subclinical hypothyroidism (SCH) and metabolic syndrome (MetS) increase with age; however, their relationship remains unclear. Objective: Our objective was to investigate the relationship between SCH and indices of metabolic syndrome and follow up subjects for 1 year. Design: Cross-sectional and longitudinal follow-up studies of cases were collected from Takasaki Hidaka Hospital between 2003 and 2007. Participants: Overall, 11 498 participants of health checkups were analyzed. The mean age was 48 ± 9 years. Main Outcome Measures: The relationship between SCH and indices of MetS were examined. Results: Serum free T4 levels were lower in women than men in most of the age groups, and the prevalence of SCH, 6.3% in women vs 3.4% in men, increased with age, reaching 14.6% in 70-year-old women. Multivariate logistic-regression analyses revealed that waist circumference and the serum triglyceride and low-density lipoprotein-cholesterol levels were significantly higher in subjects with SCH than without among women. Reflecting these findings, the adjusted odds ratio of MetS in patients with SCH was higher than in the euthyroid subjects in women with an odds ratio of 2.7 (95% confidence interval 1.1–5.6; P = .017) but not in men. Furthermore, progression from euthyroid into SCH resulted in a significant increase in the serum triglyceride levels but not low-density lipoprotein-cholesterol in women. Conclusion: Japanese women exhibited a high prevalence of SCH associated with low free T4 levels. There was a strong association between SCH and several indices of metabolic syndrome in women. SCH may affect serum triglyceride levels and be a risk factor for metabolic syndrome.

scholarly journals Relationship between C-reactive protein and features of the metabolic syndrome in military pilots in the Serbia and Montenegro

2005 ◽  
Vol 62 (11) ◽  
pp. 811-819
Author(s):  
Aleksandra Jovelic ◽  
Goran Radjen ◽  
Stojan Jovelic ◽  
Marica Markovic
Keyword(s):  
Metabolic Syndrome ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
C Reactive Protein ◽  
Low Density Lipoprotein Cholesterol ◽  
Reactive Protein

Background/Aim. C-reactive protein is an independent predictor of the risk of cardiovascular events and diabetes mellitus in apparently healthy men. The relationship between C-reactive protein and the features of metabolic syndrome has not been fully elucidated. To assess the cross-sectional relationship between C-reactive protein and the features of metabolic syndrome in healthy people. Methods. We studied 161 military pilots (agee, 40?6 years) free of cardiovascular disease, diabetes mellitus and active inflammation on their regular annual medical control. Age, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglycerides, fasting glucose, glycosylated hemoglobin, blood pressure, smoking habit, waist circumference and body mass index were evaluated. Plasma C-reactive protein was measured by the immunonephelometry (Dade Behring) method. Metabolic syndrome was defined according to the National Cholesterol Education Program Expert Panel. Results. The mean C-reactive protein concentrations in the subjects grouped according to the presence of 0, 1, 2 and 3 or more features of the metabolic syndrome were 1.11, 1.89, 1.72 and 2.22 mg/L, respectively (p = 0.023) with a statistically, significant difference between those with 3, and without metabolic syndrome (p = 0.01). In the simple regression analyses C-reactive protein did not correlate with the total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, body mass index and blood pressure (p > 0.05). In the multiple regression analysis, waist circumference (? = 0.411, p = 0.000), triglycerides to high density lipoprotein cholesterol ratio (? = 0.774, p = 0.000), smoking habit (? = 0.236, p = 0.003) and triglycerides (? = 0.471, p = 0.027) were independent predictors of C-reactive protein. Conclusions. Our results suggested a cross-sectional independent correlation between the examined cardiovascular risk factors as the predominant features of metabolic syndrome and C-reactive protein in the group of apparently healthy subjects. The lack of correlation of C-reactive protein with the total cholesterol and low density lipoprotein cholesterol in our study may suggest their different role in the process of atherosclerosis and the possibility to determine C-reactive protein in order to identify high-risk subjects not identified with cholesterol screening.

scholarly journals Validation of the Friedewald Formula in Patients with Metabolic Syndrome

Cholesterol ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
José Knopfholz ◽  
Caio César Diniz Disserol ◽  
Andressa Jardim Pierin ◽  
Fernanda Letícia Schirr ◽  
Larissa Streisky ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Statistical Significance ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Good Method ◽  
Lipoprotein Cholesterol ◽  
Blood Cholesterol ◽  
Final Report ◽  
Direct Assay ◽  
Friedewald Formula

Currently, the Friedewald formula (FF) is the main method for evaluating low-density lipoprotein cholesterol (LDL-c). Recently, many limitations have emerged regarding its use, including patients with triglyceride levels ≥400 mg/dL, diabetes mellitus, and kidney or hepatic chronic diseases. We analyzed the use of the FF in patients with metabolic syndrome. We selected patients with known metabolic syndrome that fulfilled the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report and excluded patients with triglyceride levels ≥400 mg/dL and chronic liver and/or kidney disease. Using direct assays, we measured total cholesterol, high-density lipoprotein cholesterol, triglycerides, and LDL-c. Then, LDL-c was estimated using the FF and compared with the LDL-c by direct assay. The sample size was 135 patients. Using the FF, the mean LDL-c value was 124.4±42.1 mg/dL; it was 125.1±38.5 mg/dL by direct assay. The correlation coefficient between these two methods was 0.89, with statistical significance (P  value<0.001). There were no significant differences between the patients with triglyceride levels >150 mg/dL (P=0.618). In conclusion, FF is a good method for estimating LDL-c in patients with metabolic syndrome.

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